Triple

T4719972
Position Surface form Disambiguated ID Type / Status
Subject Negros Island E104739 entity
Predicate hasCity P316 FINISHED
Object Sagay, Negros Occidental E381139 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sagay, Negros Occidental | Statement: [Negros Island, hasCity, Sagay, Negros Occidental]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sagay, Negros Occidental
Context triple: [Negros Island, hasCity, Sagay, Negros Occidental]
  • A. Sagay chosen
    Sagay is a coastal city in the province of Negros Occidental in the Philippines, known for its rich marine resources and protected seascape.
  • B. Sorsogon City
    Sorsogon City is a coastal component city in the Philippines known as the capital of Sorsogon province and a gateway to the Bicol Region’s southernmost attractions.
  • C. Talisay City
    Talisay City is a coastal component city in the province of Cebu in the Philippines, known for its historical significance and proximity to Metro Cebu.
  • D. Guihulngan
    Guihulngan is a coastal city and commercial hub in the northern part of Negros Oriental in the Philippines.
  • E. Bayugan
    Bayugan is a component city in the Caraga region of Mindanao in the Philippines, known as an agricultural and commercial hub in its area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6428e9e081908ce4041183cad13b completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39ff21f0819094a273a0f26b22f4 completed March 21, 2026, 6:26 a.m.
Created at: March 20, 2026, 1:18 p.m.